The relationship between philosophy and science has always been complementary. Today, while science moves increasingly fast and philosophy shows some problems in catching up with it, it is not always possible to ignore such relationships, especially in some disciplines such as philosophy of mind, cognitive science, and neuroscience. However, the methodological procedures used to analyze these data are based on principles and assumptions that require a profound dialogue between philosophy and science. Following these ideas, this work aims to raise the problems that a classical connectionist theory can cause and problematize them in a cognitive framework, considering both philosophy and cognitive sciences but also the disciplines that are near to them, such as AI, computer sciences, and linguistics. For this reason, we embarked on an analysis of both the computational and theoretical problems that connectionism currently has. The second aim of this work is to advocate for collaboration between neuroscience and philosophy of mind because the promotion of deeper multidisciplinarity seems necessary in order to solve connectionism’s problems. In fact, we believe that the problems that we detected can be solved by a thorough investigation at both a theoretical and an empirical level, and they do not represent an impasse but rather a starting point from which connectionism should learn and be updated while keeping its original and profoundly convincing core.

中文翻译：

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联结主义的问题

哲学与科学之间的关系始终是互补的。今天，虽然科学发展越来越快，哲学在追赶科学方面也出现了一些问题，但我们并不总是可以忽视这种关系，特别是在心灵哲学、认知科学和神经科学等一些学科中。然而，用于分析这些数据的方法程序是基于需要哲学与科学之间深刻对话的原则和假设。遵循这些想法，这项工作旨在提出经典联结主义理论可能引起的问题，并在认知框架中解决这些问题，同时考虑哲学和认知科学，也考虑到它们附近的学科，例如人工智能、计算机科学和计算机科学。语言学。为此，我们开始分析联结主义目前存在的计算和理论问题。这项工作的第二个目标是倡导神经科学和心灵哲学之间的合作，因为为了解决联结主义的问题，促进更深层次的多学科性似乎是必要的。事实上，我们认为，我们所发现的问题可以通过理论和经验层面的深入研究来解决，它们并不代表着僵局，而是联结主义应该学习和更新的一个起点，同时保持它的本质。原创且令人信服的核心。